User Event Performance Analysis: Last 30 Days Insights

Shane · 2025-08-22T14:43:50.772Z

Calculate how many users performed a given number of events (eg, buckets of 10) in the last 30 days

User Event Performance Analysis: Last 30 Days Insights | Mixpanel Community

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kapa.ai
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Hi Shane, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
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To calculate how many users performed a given number of events (e.g., in buckets of 10) in the last 30 days in Mixpanel, you can use JQL (JavaScript Query Language) with the mixpanel.numeric_bucket() function. This function allows you to group users by the number of events they performed, bucketed into intervals (such as 0–9, 10–19, etc.).Here’s an example JQL query that does this: LBKSfunction main() { return Events({ from_date: "2024-05-01", // set to 30 days ago to_date: "2024-05-30", // set to today event_selectors: [{event: "Your Event Name"}] // replace with your event }) .groupByUser(mixpanel.reducer.count()) .groupBy( [mixpanel.numeric_bucket('value', {bucket_size: 10, offset: 1})], mixpanel.reducer.count() ); }LBKS- Replace "Your Event Name" with the event you want to analyze. - Adjust the from_date and to_date as needed for your 30-day window.This query will return the number of users in each bucket (e.g., how many users performed 1–10, 11–20, etc. events in the last 30 days) Docs: JQL Builtins.If you prefer to use the Mixpanel UI, you can use the Insights report with the "Frequency per User" measurement and select the "distribution" aggregation to visualize a similar breakdown, but the JQL approach gives you more control over bucket sizes Docs: Insights Measurements.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
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Hi Shane, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
APP
·
·
To calculate how many users performed a given number of events (e.g., in buckets of 10) in the last 30 days in Mixpanel, you can use JQL (JavaScript Query Language) with the mixpanel.numeric_bucket() function. This function allows you to group users by the number of events they performed, bucketed into intervals (such as 0–9, 10–19, etc.).Here’s an example JQL query that does this: LBKSfunction main() { return Events({ from_date: "2024-05-01", // set to 30 days ago to_date: "2024-05-30", // set to today event_selectors: [{event: "Your Event Name"}] // replace with your event }) .groupByUser(mixpanel.reducer.count()) .groupBy( [mixpanel.numeric_bucket('value', {bucket_size: 10, offset: 1})], mixpanel.reducer.count() ); }LBKS- Replace "Your Event Name" with the event you want to analyze. - Adjust the from_date and to_date as needed for your 30-day window.This query will return the number of users in each bucket (e.g., how many users performed 1–10, 11–20, etc. events in the last 30 days) Docs: JQL Builtins.If you prefer to use the Mixpanel UI, you can use the Insights report with the "Frequency per User" measurement and select the "distribution" aggregation to visualize a similar breakdown, but the JQL approach gives you more control over bucket sizes Docs: Insights Measurements.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.